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Record W2020710501 · doi:10.5539/hes.v4n2p52

Study of the Impacts of the Quality Assessment of Undergraduate Education Policy in China: Students’ Perceptions

2014· article· en· W2020710501 on OpenAlexvenueno aff
Shuiyun Liu, Hui Yu

Bibliographic record

VenueHigher Education Studies · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Governance and Development
Canadian institutionsnot available
FundersNational Office for Philosophy and Social Sciences
KeywordsChinaPerceptionQuality (philosophy)Higher educationMedical educationPsychologyQuality assessmentProcess (computing)Political sciencePedagogyEvaluation methodsEngineeringMedicineComputer science

Abstract

fetched live from OpenAlex

This paper analyzes a higher education policy issued in China in 2002: the Quality Assessment of Undergraduate Education Policy. It examines students’ perceptions of the policy impacts and students’ roles in the evaluation process by semi-structured interviews and questionnaire surveys. It reveals that the quality assessment in China has facilitated the improvement of teaching infrastructure and led to the intensification of school discipline in evaluated higher education institutions significantly. However, its impacts on teaching/learning are not noticeable. As an information publisher, quality assessment seems not very influential for students. Moreover, students do not think their voices have been demonstrated in the current quality assessment sufficiently, and expect their roles to be enhanced. Based on students’ perceptions of the policy impacts, this study ends up with an examination of the problems with quality assessment approaches and related suggestions to improve them.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.059
GPT teacher head0.489
Teacher spread0.431 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations13
Published2014
Admission routes1
Has abstractyes

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